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How fill NaN value in pandas based on other columns?
Steps to replace NaN values:
- For one column using pandas: df[‘DataFrame Column’] = df[‘DataFrame Column’].fillna(0)
- For one column using numpy: df[‘DataFrame Column’] = df[‘DataFrame Column’].replace(np.nan, 0)
- For the whole DataFrame using pandas: df.fillna(0)
- For the whole DataFrame using numpy: df.replace(np.nan, 0)
How do you check if a value is NaN in Python?
5 Methods to Check for NaN values in in Python
- import pandas as pd. x = float(“nan”) print(f”It’s pd.isna : { pd.isna(x) }”)OutputIt’s pd.isna : True.
- import numpy as np. x = float(“nan”) print(f”It’s np.isnan : { np.isnan(x) }”)OutputIt’s np.isnan : True.
- import math. x = float(“nan”)
How to add column based on other columns?
Add a columns in DataFrame based on other column using lambda function. Add column ‘Percentage’ in dataframe, it’s each value will be calculated based on other columns in each row i.e. df_obj = df_obj.assign(Percentage=lambda x: (x[‘Marks’] / x[‘Total’]) * 100) Contents of the returned dataframe are,
How to conditional format based on another column in Excel?
The column can be on the different sheet too. You just need to mention the range. You can also mention the non-connected ranges. Just use a comma between ranges in “applied to” section. So yeah guys, this how can do conditional formatting in excel based on another column. This sounds tricky but in practice, it is quite easy.
Can a column be on a different sheet in Excel?
The column can be on the different sheet too. You just need to mention the range. You can also mention the non-connected ranges. Just use a comma between ranges in “applied to” section.
How to copy column based on cell value to another sheet?
1. Select a blank cell which you want to place the extracted column, for instance, Cell A1 in Sheet 3, and then enter this formula =INDEX(Sheet1!$A1:$E1,MATCH(Sheet2!$A$1,Sheet1!$A$1:$E$1,0)) and press Enter key to extract the first data, then drag auto fill handle down to until zero appears.