Category : floating-point

Here I would like to convert all column values to floating point numbers, I have tried the code below but getting error, I have tried and removed ‘,’ (as you can see in comments) but still getting same error. url_list = [‘https://www.coingecko.com/en/coins/ethereum/historical_data/usd?start_date=2021-08-06&end_date=2021-09-05#panel’, ‘https://www.coingecko.com/en/coins/cardano/historical_data/usd?start_date=2021-08-06&end_date=2021-09-05#panel’, ‘https://www.coingecko.com/en/coins/chainlink/historical_data/usd?start_date=2021-08-06&end_date=2021-09-05#panel’] dfList = [] for url in url_list: response = requests.get(url) src ..

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I cannot convert it using the following commands import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt df = pd.read_csv(‘sample.csv’) print(df.head()) np_array = df.to_numpy() np_array.to_csv(‘sample.csv’) because the data frame contains floats. The head of df with col_names and row_names being integers 1-10 and 1-4, respectively; however, the values ..

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I need the first 4 digits after the front 0s in a decimal while also keeping the 0s in the output without getting scientific notation. Would like to take 0.0000000000000000000000634546534 and get 0.00000000000000000000006345 but not 6.345e-23. But would also like to take 231.00942353246 and get 231.009423. Thank you. Source: Python-3x..

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