In pandas, when creating a DataFrame, you can pass in a variety of data types including:

1. Integer: You can pass a dictionary where the keys will be used as column headers and the values, which are lists of integers, will be the column values.

2. String: Similar to integers, you can pass a dictionary where the keys are strings that will be used as column headers and the values are lists of strings that will be the column values.

3. Pandas Series: You can pass a dictionary of pandas Series. The keys of the dictionary will be used as the column headers and the Series as the column values. The index of the DataFrame will be automatically assigned based on the index of the Series.

4. All of the above: So, yes, you can pass integers, strings, and pandas Series when creating a DataFrame in pandas.

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In pandas, when creating a DataFrame, you can pass in a variety of data types including:

1. Integer: You can pass a dictionary where the keys will be used as column headers and the values, which are lists of integers, will be the column values.

2. String: Similar to integers, you can pass a dictionary where the keys are strings that will be used as column headers and the values are lists of strings that will be the column values.

3. Pandas Series: You can pass a dictionary of pandas Series. The keys of the dictionary will be used as the column headers and the Series as the column values. The index of the DataFrame will be automatically assigned based on the index of the Series.

4. All of the above: So, yes, you can pass integers, strings, and pandas Series when creating a DataFrame in pandas.

Knowee AI · Accepted Answer

In pandas, when creating a DataFrame, you can pass in a variety of data types including:

1. Integer: You can pass a dictionary where the keys will be used as column headers and the values, which are lists of integers, will be the column values.

2. String: Similar to integers, you can pass a dictionary where the keys are strings that will be used as column headers and the values are lists of strings that will be the column values.

3. Pandas Series: You can pass a dictionary of pandas Series. The keys of the dictionary will be used as the column headers and the Series as the column values. The index of the DataFrame will be automatically assigned based on the index of the Series.

4. All of the above: So, yes, you can pass integers, strings, and pandas Series when creating a DataFrame in pandas.

What we pass in DataFrame in pandas ?(1 Point)IntegerStringPandas seriesAll of the above

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