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To sort values in a pandas DataFrame, you can use the `sort_values()` method. Here's an example: ``` import pandas as pd data = {'Name': ['Alice', 'Bob', 'Charlie', 'Alice', '…
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To sort values in a pandas DataFrame, you can use the `sort_values()` method. Here's an example: ``` import pandas as pd data = {'Name': ['Alice', 'Bob', 'Charlie', 'Alice', '…
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You can merge or join two DataFrames in pandas using the `merge()` function or the `join()` method. Here's an example of using `merge()`: ``` import pandas as pd # Create two …
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To apply a function to each element or column of a pandas DataFrame, you can use the `apply()` method. Here's an example of applying a function to each element of a DataFrame: …
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Flattening a nested JSON object in Python means converting a JSON object that has nested objects and arrays into a simpler key-value format where all values are strings. There are…
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To drop missing values in pandas, you can use the `dropna()` method on a pandas DataFrame. By default, `dropna()` removes all rows that contain any missing values. Here is an exam…
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You can fill missing values in pandas using the `fillna()` method. `fillna()` provides several options for how to fill the missing values. Here are a few examples: 1. Fill with …
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To replace values in pandas, you can use the `replace()` method on a pandas DataFrame or Series. Here are a few examples: 1. Replace all occurrences of a specific value with ano…
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To check for duplicates in pandas, you can use the `duplicated()` method on a pandas DataFrame. `duplicated()` returns a boolean Series with True and False values that describe wh…
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To rename columns in pandas --------------------------- To rename columns in pandas, you can use the `rename()` method on a pandas DataFrame. `rename()` accepts a dictionary, wh…
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To remove leading/trailing white spaces from column names in pandas, you can use the `str.strip()` method on the column names. Here's an example: ``` import pandas as pd # cre…