fix trailing pd.np

dashApp/app_demo.py

 # -*- coding: utf-8 -*-
+import os
+import urllib
+from datetime import datetime, timedelta
+import sqlite3
+import pandas as pd
+import numpy as np
 from dash.dependencies import Input, Output, State
 import dash_core_components as dcc
 import dash_html_components as html
@@ -6,11 +12,6 @@ import dash_bootstrap_components as dbc
 # import dash_table_experiments as dt
 import plotly.graph_objs as go
 import plotly.express as px
-import os
-import urllib
-import pandas as pd
-import sqlite3
-from datetime import datetime, timedelta
 
 from django.conf import settings
 # from .server import app
@@ -43,7 +44,7 @@ map_station = {
     "TAL": "Talence", "ROU": "Rouen", "NGT": "Nogent"
 }
 
-df["Labels"].replace({"nan": pd.np.nan, "None": pd.np.nan}, inplace=True)
+df["Labels"].replace({"nan": np.nan, "None": np.nan}, inplace=True)
 df["Date"] = pd.to_datetime(df["Date"])
 # replace_QL(df)
 
@@ -352,7 +353,7 @@ def update_datatable(stations, species, sources, options, years_range):
                     base_var=BASE_VAR_SP)
     sp = sp.loc[sp["Particle size"].isin(PMfraction)]
     # if not 'uselabels' in options:
-    #     sp["Labels"] = pd.np.nan
+    #     sp["Labels"] = np.nan
     if len(sources)!=0:
         pmf = utilities.get_PMF_contrib(sources, where="Station", isin=stations_tmp,
                               base_var=BASE_VAR_SRC)
@@ -435,11 +436,11 @@ def update_ts_graph(datatable, species, sources, options):
     dfdt = pd.DataFrame(datatable)
 
     if not 'uselabel' in options:
-        dfdt["Labels"] = pd.np.nan
+        dfdt["Labels"] = np.nan
     stations = dfdt["Station"].unique()
     # species = dfdt.columns
 
-    dfdt["Labels"].fillna(value=pd.np.nan, inplace=True)
+    dfdt["Labels"].fillna(value=np.nan, inplace=True)
 
     # should never happen... but just in case
     if "Date" not in dfdt.columns:
@@ -452,7 +453,7 @@ def update_ts_graph(datatable, species, sources, options):
     for station in stations:
         dftmp = dfdt[dfdt["Station"]==station]
 
-        dftmp["Program PMF"].replace({"None", pd.np.nan}, inplace=True)
+        dftmp["Program PMF"].replace({"None", np.nan}, inplace=True)
         for toplot, var in zip(("species", "sources"), (species, sources)):
             if len(var)==0:
                 continue
@@ -503,7 +504,7 @@ def update_box_graph(datatable, temporality, plots_options, groupby_var, species
     dfdt = pd.DataFrame(datatable)
 
     if not 'uselabel' in options:
-        dfdt["Labels"] = pd.np.nan
+        dfdt["Labels"] = np.nan
     stations = dfdt["Station"].unique()
 
     species = set(species) - set(BASE_VAR_SP) - set(notNumeric)
@@ -630,7 +631,7 @@ def update_scatter_graph(datatable, tabselected, species, sources, options):
     dfdt = pd.DataFrame(datatable)
 
     if 'uselabel' not in options:
-        dfdt["Labels"] = pd.np.nan
+        dfdt["Labels"] = np.nan
     stations = list(dfdt["Station"].unique())
 
     # species = set(species) - set(BASE_VAR_SP) - set(notNumeric)