whow i fill the data if most values are nan in jupyter notebook

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showing results for - "whow i fill the data if most values are nan in jupyter notebook"
Johanna
06 Jan 2020
1# import pandas
2import pandas as pd
3
4# make a sample data
5list_of_rows = [
6  {'start_station': 1, 'end_station': 1},
7  {'start_station': None, 'end_station': 1},
8  {'start_station': 1, 'end_station': 2},
9  {'start_station': 1, 'end_station': 3},
10  {'start_station': 2, 'end_station': None},
11  {'start_station': 2, 'end_station': 3},
12  {'start_station': 2, 'end_station': 3},
13]
14
15# make a pandas data frame
16df = pd.DataFrame(list_of_rows)
17
18# define a function
19def fill_NaNs_in_end_station(row):
20    if pd.isnull(row['end_station']):
21        start_station = row['start_station']
22        return df[df['start_station']==start_station].end_station.value_counts().first_valid_index()
23    return row['end_station']
24
25# apply function to dataframe
26df['end_station'] = df.apply(lambda row: fill_NaNs_in_end_station(row), axis=1)
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Malik
01 Mar 2018
1# Making a list of missing value typesmissing_values = ["n/a", "na", "--"]df = pd.read_csv("property data.csv", na_values = missing_values)
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