parent
d40d122941
commit
8ed6960e79
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I am data (:
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I am media :P
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#!/bin/python
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# 1 bis 20
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# fizz durch 3 teilbar
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# buzz durch 5 teilbar
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# durch 3 und 5 teilbar fizzbuzz
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# for z in range(1, 101):
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# if z % 3 == 0:
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# print("Fizz", end="")
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# if z % 5 == 0:
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# print("Buzz", end="")
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# if z % 3 != 0 and z % 5 != 0:
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# print(z, end="")
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# print()
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# 3 -> Fizz
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# 5 -> Buzz
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# 13 -> Penis
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def eval_dividers(user_inputs, num):
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divisible = False
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for curr in user_inputs:
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div = curr[0]
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word = curr[1]
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if num % div == 0:
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print(word, end="")
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divisible = True
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return divisible
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def print_loop(user_inputs, max_number):
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for i in range(1, max_number + 1):
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if not eval_dividers(user_inputs, i):
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print(i)
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else:
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print()
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def init():
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# (1, "Ass")
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user_input = input("Bitte Zahl und Wort eingeben: ").split(" ")
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user_inputs = []
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# user_input = int(input("Test: "))
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while len(user_input) > 1:
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user_input[0] = int(user_input[0])
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user_inputs.append(user_input)
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user_input = input("Bitte Zahl und Wort eingeben: ").split(" ")
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max_number = int(input("Bitte obere Grenze angeben: "))
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print_loop(user_inputs, max_number)
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init()
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#!/bin/python
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# author: phga
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# date: 2021-04-08
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# desc: Script that turns flexvolt exports/recordings into 2x2 plots
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import os
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import seaborn as sns
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import matplotlib.pyplot as mp
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from pandas import read_csv
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sns.set_theme(style="white", color_codes=True)
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sns.set_palette("colorblind")
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plot_dir = "../flexvolt_plots"
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typing_tests = []
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# Collect all tests
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for root, sub, files in os.walk("../flexvolt"):
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for f in files:
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if f.endswith("txt"):
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typing_tests.append(os.path.join(root, f))
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for f in typing_tests:
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# Get participants name and datetime for test
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subject = f.split("/")[-2]
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date_time = f.split("flexvolt-recorded-data--")[-1].strip(".txt")
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# Skip first row of meta_data; Only use Processed Data
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flex_data = read_csv(f, skiprows=1, usecols=[0,5,6,7,8])
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# Get min values to normalize data
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start_time = flex_data["Time (ms)"][0]
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min_c1 = flex_data["Chan 1Processed"].min()
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min_c2 = flex_data["Chan 2Processed"].min()
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min_c3 = flex_data["Chan 3Processed"].min()
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min_c4 = flex_data["Chan 4Processed"].min()
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# Subtract min values and start time from respective columns
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flex_data = flex_data.sub([start_time, min_c1, min_c2, min_c3, min_c4])
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# Convert ms to s
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flex_data["Time (ms)"] *= 10**-3
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# Create 2x2 plot
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plot, axi = mp.subplots(2, 2)
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# Settings for whole image
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plot.suptitle(f'{subject}: {date_time}')
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mp.subplots_adjust(hspace=0.5, wspace=0.5)
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# Subplots
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sns.lineplot(x="Time (ms)", y="Chan 2Processed", data=flex_data, ax=axi[0][0])
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sns.lineplot(x="Time (ms)", y="Chan 1Processed", data=flex_data, ax=axi[0][1])
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sns.lineplot(x="Time (ms)", y="Chan 4Processed", data=flex_data, ax=axi[1][0])
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sns.lineplot(x="Time (ms)", y="Chan 3Processed", data=flex_data, ax=axi[1][1])
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# title for each plot and counter var
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plot_title = ["Extensor L", "Extensor R", "Flexor L", "Flexor R"]
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i = 0
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# Label axis
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for rows in axi:
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for plot in rows:
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plot.set_ylim(-5, 300)
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plot.set_title(plot_title[i], fontweight="bold")
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plot.set_ylabel("Muscle Signal [µV]", fontsize="x-small")
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plot.set_xlabel("Time [s]", fontsize="x-small")
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i += 1
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try:
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os.mkdir(f"{plot_dir}/{subject}")
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except OSError as error:
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pass
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mp.savefig(f"{plot_dir}/{subject}/{date_time}.png")
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@ -0,0 +1,48 @@
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#!/bin/python3
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import pandas as pd
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from argparse import ArgumentParser
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p = ArgumentParser()
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# action store_true is for flags
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p.add_argument("-i", "--input", nargs="+", help="Path to input excel file")
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p.add_argument("-o", "--output", nargs="+", help="Path to output sql file")
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args = p.parse_args()
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if not args.input:
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in_file_path = input("Please enter path to input excel file: ")
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else:
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in_file_path = args.input[0]
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if not args.output:
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out_file_path = input("Please enter path to output sql file: ")
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else:
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out_file_path = args.output[0]
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print(f'Input: {in_file_path}\nOutput: {out_file_path}')
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in_file = pd.ExcelFile(in_file_path)
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with open(out_file_path, "w") as of:
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for sheet in in_file.sheet_names:
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curr_sheet = in_file.parse(sheet)
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# One line is one test subject/object
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for line in curr_sheet.iterrows():
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indices = line[1].index
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values = line[1].values
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# print(indices, values)
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cols = ""
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vals = ""
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for i in range(len(indices)):
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if i != 0:
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cols += f", {indices[i]}"
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vals += f", {values[i]}"
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else:
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cols += f"{indices[i]}"
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vals += f"{values[i]}"
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# USE $DB
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# INSERT INTO $DB.$TABLE ($COL1, $COL2, ...) VALUES ($VAL1, $VAL2, ...)
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db_table = sheet.split(".")
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db = db_table[0]
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table = db_table[1]
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of.write(f"INSERT INTO {db}.{table} ({cols}) VALUES ({vals})\n")
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d1, s2_d1, s3_d1, s4_d1)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d2, s2_d2, s3_d2, s4_d2)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d3, s2_d3, s3_d3, s4_d3)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d4, s2_d4, s3_d4, s4_d4)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d5, s2_d5, s3_d5, s4_d5)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d6, s2_d6, s3_d6, s4_d6)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d7, s2_d7, s3_d7, s4_d7)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d8, s2_d8, s3_d8, s4_d8)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d9, s2_d9, s3_d9, s4_d9)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d10, s2_d10, s3_d10, s4_d10)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d11, s2_d11, s3_d11, s4_d11)
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INSERT INTO db.tabelle (DB_Saplte_01, DB_Saplte_02, DB_Saplte_03, DB_Saplte_04) VALUES (s1_d12, s2_d12, s3_d12, s4_d12)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d1, s2_d1)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d2, s2_d2)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d3, s2_d3)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d4, s2_d4)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d5, s2_d5)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d6, s2_d6)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d7, s2_d7)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d8, s2_d8)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d9, s2_d9)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d10, s2_d10)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d11, s2_d11)
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INSERT INTO db2.tab2 (DB_LELE_01, DB_LALA_02) VALUES (s1_d12, s2_d12)
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Binary file not shown.
@ -0,0 +1,53 @@
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def getMedian(list1, list2):
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list1.extend(list2)
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for i in range(len(list1) - 1):
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minimum = i
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for j in range( i + 1, len(list1)):
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if(list1[j] < list1[minimum]):
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minimum = j
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if(minimum != i):
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list1[i], list1[minimum] = list1[minimum], list1[i]
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if len(list1) % 2 == 0:
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index = int(len(list1) / 2)
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median = (list1[index] + list1[index-1]) / 2
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else:
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index = int((len(list1) - 1) / 2)
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median = list1[index]
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return float(median)
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# ↑ ↑ ↑ Your Code ↑ ↑ ↑
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tests = 0
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passed = 0
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def test(nums1, nums2, output):
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median = getMedian(nums1, nums2)
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print("Array: Nums1: "+str(nums1)+" Nums2: "+str(nums2))
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print("Median expected: "+str(output))
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print("Median got: "+str(median))
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print("Is Median equal: "+str(median == output))
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print()
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global tests, passed
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tests = tests + 1
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passed = passed + 1 if median == output else passed + 0
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nums1 = [1,3]
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nums2 = [2]
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output = 2.00000
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test(nums1, nums2, output)
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nums1 = [1,2]
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nums2 = [3,4]
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output = 2.50000
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test(nums1, nums2, output)
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nums1 = [0,0]
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nums2 = [0,0]
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output = 0.00000
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test(nums1, nums2, output)
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nums1 = []
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nums2 = [1]
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output = 1.00000
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test(nums1, nums2, output)
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nums1 = [2]
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nums2 = []
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output = 2.00000
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test(nums1, nums2, output)
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print(str(tests)+" Tests")
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print(str(passed)+" Passed/"+str(tests-passed)+" Failed")
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@ -0,0 +1,19 @@
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#!/bin/python
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###########################################################
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class Mensch():
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def __init__(self, name):
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self.name = name
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def sprechen(self, text):
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print(f"Ich bin {self.name} und ich sage: {text}")
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###########################################################
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domi = Mensch("Dominik")
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domi.sprechen("Du netter Kerl!")
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phil = Mensch("Philip")
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phil.sprechen("Du tolles Weib..")
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