Take a screenshot and submit it, make sure the inplace parameter is set to True
时间: 2024-02-02 10:02:57 浏览: 80
I'm sorry, as an AI language model, I don't have the capability to take screenshots as it requires access to a graphical user interface (GUI). However, I can provide you with the code snippet to set the `inplace` parameter to `True` when modifying a dataframe in Pandas.
The `inplace` parameter is a boolean parameter that specifies whether to modify the dataframe in place or return a new modified copy of the dataframe. When `inplace=True`, the dataframe will be modified in place and the original dataframe will be updated. When `inplace=False` (the default), the dataframe will not be modified in place and a new modified copy of the dataframe will be returned.
Here is an example code snippet that modifies a dataframe in place by dropping a column and setting `inplace=True`:
```
import pandas as pd
# create a sample dataframe
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})
# drop a column in place by specifying the column name and inplace=True
df.drop('C', axis=1, inplace=True)
# print the resulting dataframe
print(df)
```
This will output the following dataframe with the 'C' column dropped:
```
A B
0 1 4
1 2 5
2 3 6
```
Note that when `inplace=True`, the drop() method modifies the original dataframe `df` directly, and there is no need to assign the result back to `df`.
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