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addition of query for port cols, beginning of acquiring port cols

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Dipti
2021-02-10 02:12:49 -08:00
parent c3c0924cda
commit 1b7a29f77e
3 changed files with 50 additions and 27 deletions
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25
py-json/LANforge/lfcli_base.py
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@@ -619,18 +619,18 @@ class LFCliBase:
#================ Pandas Dataframe Functions ======================================
#takes any dataframe and returns the specified outputfile format of it
def df_to_file(dataframe, outputfile_name_path):
def df_to_file(dataframe=None, output_f=None):
df = dataframe
if output_file_type == 'hdf':
return df.to_hdf(output_file_type, 'table', append=True)
if output_file_type == 'parquet':
return df.to_parquet(output_file_type, engine='pyarrow')
if output_file_type == 'png':
if output_f == 'hdf':
return df.to_hdf(output_f, 'table', append=True)
if output_f == 'parquet':
return df.to_parquet(output_f, engine='pyarrow')
if output_f == 'png':
fig = df.plot().get_figure()
return fig.savefig(output_file_type)
if output_file_type.lower() in ['excel', 'xlsx'] or report_file.split('.')[-1] == 'xlsx':
return df.to_excel(output_file_type, index=False)
if output_file_type == 'df':
return fig.savefig(output_f)
if output_f.lower() in ['excel', 'xlsx']:
return df.to_excel(output_f, index=False)
if output_f == 'df':
return df
supported_formats = ['csv', 'json', 'stata', 'pickle','html']
#for format in supported_formats:
@@ -638,7 +638,10 @@ class LFCliBase:
# return exec('df.to_' + x + '("'+file_name'")')
#takes any format of a file and returns a dataframe of it
def file_to_df(file_type, file_name):
def file_to_df(file_name=None):
pass
def compare_two_df(dataframe_one=None,dataframe_two=None):
pass
def append_df_to_file(dataframe, file_name):