Category : csv

I am looking for help to merge 2 csvs, having random order of headers and data. sample example is as below: csv-1 column header: apple, orange, banana, pineapple row1: 10,20,30,40 row2: 11,21,31,41 csv-2 column header: orange, apple, pineapple row1: 22,21,23 row2: 32,31,33 final_csv column header: apple, orange, banana, pineapple row1: 10,20,30,40 row2: 11,21,31,41 row3: 21,22,,23 ..

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I tried to use json normalize in nested dictionary as showed in image A and it show error string indices must be integers. Here is my code import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from pandas.io.json import json_normalize df=pd.read_csv(‘applied_work.csv’) df_=df.loc[:,[‘job_id’, ‘user_id’, ‘job_title’, ‘city’,’state’]] df_try=pd.json_normalize(data=df_try, record_path=’job_title’) Source: ..

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I am new to edf file format for EEG so when I tried to convert edf to CVS I am getting error <ipython-input-47-29e11a4df1ba>:3: RuntimeWarning: Channel names are not unique, found duplicates for: {‘T8-P8’}. Applying running numbers for duplicates and here is the code: import numpy as np import mne edf = mne.io.read_raw_edf(‘/content/drive/MyDrive/Project/chb01_01.edf’) header = ‘,’.join(edf.ch_names) ..

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I write into a csv by this function: def write_csv(hlavicka: Tuple[str, …], zaznam: list, pomocne_csv: str) -> None: if not os.path.isfile(pomocne_csv): with open(pomocne_csv, "w", encoding=cfg.ENCODING, newline="") as soubor: writer = csv.writer(soubor, delimiter=cfg.DELIMITER) writer.writerow(hlavicka) with open(pomocne_csv, "a", encoding=cfg.ENCODING, newline="") as soubor: writer = csv.writer(soubor, delimiter=cfg.DELIMITER) writer.writerows([zaznam]) However, when I open the csv in MS Office, I ..

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I just downloaded this CSV from kaggle https://www.kaggle.com/psvishnu/bank-direct-marketing?select=bank-full.csv However, when it downloads, all the 17 or so columns are in 1, so when I use df = pd.read_csv(‘bank-full.csv) it too has all values in one column. Any thoughts would be great, I haven’t come across this issue before, thanks! df sample 58;"management";"married";"tertiary";"no";2143;"yes";"no";"unknown";5;"may";261;1;-1;0;"unknown";"no" 0 44;"technician";"single";"secondary";"no";29;"yes";"no";"unknown";5;"may";151;1;-1;0;"unknown";"no" 1 ..

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I’m trying to learn my custom model with object detection (object is Buckwheat) for Android using TensorFlow Lite and using my dataset. I have created 2 csv files: train.csv and test.csv. I’m using tensorflow 2.5 and python 3.9.6. OS: Windows 10 I try to run generate_tfrecord.py by a command: python generate_tfrecord.py –csv_input=train.csv –output_path=train.record –image_dir=train/images But ..

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I am reading first row of CSV file in to a list using pandas read_csv() method as below. target_df = pandas.read_csv(file_absoulte_path, nrows=0, engine=’python’).columns.tolist() And comparing the list returned above with another list (expected_columns) as below. if(colums_expected==target_df): logger.info("Column names are CORRECT, as expected!") else: logger.error("Column names are NOT CORRECT!, not as expected!") imagine, expected_columns=["NewYork","Sydney","Sydney","Sydney"] Now the ..

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I am very new to coding and could use some help. I download a csv (attached screenshot) from CBOE’s website using the below code: import csv, urllib.request weeklys_url = ‘https://www.cboe.com/available_weeklys/get_csv_download/’ response = urllib.request.urlopen(weeklys_url) lines = [l.decode(‘utf-8’) for l in response.readlines()] weeklys = csv.reader(lines) for row in weeklys: print(row) I then need to isolate only the ..

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