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- How to get set a pandas index column title or name?
df1 = df rename_axis(('foo','bar')) print (df1) col name A B C D E F foo bar Apples a 5 4 0 5 2 2 Oranges b 5 8 2 5 9 9 Puppies c 7 6 0 7 8 3 Ducks d 6 5 0 1 6 0 df2
- How to print pandas DataFrame without index - Stack Overflow
To answer the "How to print dataframe without an index" question, you can set the index to be an array of empty strings (one for each row in the dataframe), like this: blankIndex=[''] * len(df) df index=blankIndex If we use the data from your post:
- How to convert index of a pandas dataframe into a column
df reset_index(level='State') # same as df reset_index(level=0) In the rare event that you want to preserve the index and turn the index into a column, you can do the following: # for a single level df assign(State=df index get_level_values('State')) # for all levels df assign(**df index to_frame())
- How can I set index while converting dictionary to dataframe?
My purpose is to convert this dictionary to a dataframe and to set the 'Date' key values as the index of the dataframe I can do this job by the below commands df = pd DataFrame(dictionary, columns=['Date', 'Open', 'Close']) df index = df Date Output:
- How to remove index from a created Dataframe in Python?
import pandas as pd df=pd DataFrame({'Name' : list1,'Probability' : list2}) But I'd like to remove the first column (The index column) and make the column called Name the first column I tried using del df['index'] and index_col=0 But they didn't work I also checked reset_index() and that is not what I need I would like to completely remove
- Python Pandas: Get index of rows where column matches certain value
df iloc[i] returns the ith row of df i does not refer to the index label, i is a 0-based index In contrast, the attribute index returns actual index labels, not numeric row-indices:
- python - Rename Pandas DataFrame Index - Stack Overflow
In Pandas version 0 13 and greater the index level names are immutable (type FrozenList) and can no longer be set directly You must first use Index rename() to apply the new index level names to the Index and then use DataFrame reindex() to apply the new index to the DataFrame Examples:
- Set value for particular cell in pandas DataFrame using index
One benefit with saving the conditional_index is that you can assign value of one column to another column with same row index; df loc[conditional_index, [col1,col2]]= df loc[conditional_index,'col name'] This is all possible because index returns a array of index which loc can use with direct addressing so it avoids traversals again and again
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