plt.close()
def write_monthly_pdf():
PDF_FILE = 'output/monthly.pdf'
var_names = get_dfm().columns.values.tolist()
df = get_df(var_names, "m", "1999-01")
save_plots_as_pdf(df, PDF_FILE, 3, 2)
if __name__ == "__main__":
# sample plot
ts = get_ts('IND_PROD_yoy', "m", "1999-01")
one_plot(ts)
plt.close()
# png images
df = get_dfm()
#write_png_pictures(df)
# ERROR: TypeError: Empty 'Series': no numeric data to plot
# CORP_DEBT_bln_rub NaN
# CORP_DEBT_overdue NaN
# CORP_DEBT_rog NaN
generate_md(df)
# PDF output
write_monthly_pdf()
# not todo/issue:
# с меньшим количеством лет ориентация подписей по оси х некрасивая + на англ. яз.
def write_monthly_pdf():
PDF_FILE = 'output/monthly.pdf'
var_names = get_dfm().columns.values.tolist()
df = get_df(var_names, "m", "1999-01")
save_plots_as_pdf(df, PDF_FILE, 3, 2)
def get_dfm_var_list():
return get_dfm().columns.tolist()