Python | Pandas Series.to_latex()
Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.to_latex() function render an object to a LaTeX tabular environment table.
Syntax: Series.to_latex(buf=None, columns=None, col_space=None, header=True, index=True, na_rep=’NaN’, formatters=None, float_format=None, sparsify=None, index_names=True, bold_rows=False, column_format=None, longtable=None, escape=None, encoding=None, decimal=’.’, multicolumn=None, multicolumn_format=None, multirow=None)
Parameter :
buf : Buffer to write to. If None, the output is returned as a string.
columns : The subset of columns to write. Writes all columns by default.
col_space : The minimum width of each column.
header : Write out the column names. If a list of strings is given, it is assumed to be aliases for the column names.
index : Write row names (index)
na_rep : Missing data representation.
formatters : Formatter functions to apply to columns’ elements by position or name.
float_format : Format string for floating point numbers.
sparsify : Set to False for a DataFrame with a hierarchical index to print every multi-index key at each row.
Returns : If buf is None, returns the resulting LateX format as a string, otherwise, returns None.
Example #1: Use Series.to_latex() function to render the given series object to LaTeX tabular environment table.
Python3
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([ 'New York' , 'Chicago' , 'Toronto' , 'Lisbon' , 'Rio' , 'Moscow' ]) # Create the Datetime Index didx = pd.DatetimeIndex(start = '2014-08-01 10:00' , freq = 'W' , periods = 6 , tz = 'Europe/Berlin' ) # set the index sr.index = didx # Print the series print (sr) |
Output :
Now we will use Series.to_latex() function to render the given series object to LaTeX tabular environment table.
Python3
# render to LaTeX tabular environment table. sr.to_latex() |
Output :
As we can see in the output, the Series.to_latex() function has successfully rendered the given series object to LaTeX tabular environment table.
Example #2: Use Series.to_latex() function to render the given series object to LaTeX tabular environment table.
Python3
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([ 19.5 , 16.8 , 22.78 , 20.124 , 18.1002 ]) # Print the series print (sr) |
Output :
Now we will use Series.to_latex() function to render the given series object to LaTeX tabular environment table.
Python3
# render to LaTeX tabular environment table. sr.to_latex() |
Output :
As we can see in the output, the Series.to_latex() function has successfully rendered the given series object to LaTeX tabular environment table.
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