VolumePerTime.ipynb

Kernel: Python 3 (Anaconda)

import pandas as pd
import numpy as np

column_names = ['Time', 'ppm/min']
In= pd.read_csv('../../DataFiles/Netatmo2016_2017CO2ppm.csv', parse_dates=True, index_col=0, names = column_names)
In.head()

%matplotlib inline
In.plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7f064b91e940>

df1 = In

df1['Outsidepmm'] = 400

df1.describe()

df1['Infiltration'] = (df1['ppm/min']*41000)/df1['Outsidepmm']

df1.head()

PPM = pd.read_csv('Netatmo2016_2017CO2ppm.csv', parse_dates=True, index_col=1)

%matplotlib inline
PPM['ppm'].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7fcc39a1ada0>

df3 = PPM
df3.head(5)

delta_CO2 = df3['ppm'].diff(1)
df3['Time'] = df3.index
delta_time = df3['Time'].diff(1) / np.timedelta64(1,'m')

df3['Slope'] = delta_CO2 / delta_time

df3.head(5)

slope = delta_CO2 / delta_time

%matplotlib
df3['Slope'].plot()

Using matplotlib backend: Qt5Agg

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-16-173c82f79985> in <module>()
      1 get_ipython().run_line_magic('matplotlib', '')
----> 2 df3['Slope'].plot()

/ext/anaconda3/lib/python3.5/site-packages/pandas/plotting/_core.py in __call__(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)
   2451                            colormap=colormap, table=table, yerr=yerr,
   2452                            xerr=xerr, label=label, secondary_y=secondary_y,
-> 2453                            **kwds)
   2454     __call__.__doc__ = plot_series.__doc__
   2455 
/ext/anaconda3/lib/python3.5/site-packages/pandas/plotting/_core.py in plot_series(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)
   1892                  yerr=yerr, xerr=xerr,
   1893                  label=label, secondary_y=secondary_y,
-> 1894                  **kwds)
   1895 
   1896 
/ext/anaconda3/lib/python3.5/site-packages/pandas/plotting/_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
   1692         plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds)
   1693 
-> 1694     plot_obj.generate()
   1695     plot_obj.draw()
   1696     return plot_obj.result
/ext/anaconda3/lib/python3.5/site-packages/pandas/plotting/_core.py in generate(self)
    242         self._args_adjust()
    243         self._compute_plot_data()
--> 244         self._setup_subplots()
    245         self._make_plot()
    246         self._add_table()
/ext/anaconda3/lib/python3.5/site-packages/pandas/plotting/_core.py in _setup_subplots(self)
    293         else:
    294             if self.ax is None:
--> 295                 fig = self.plt.figure(figsize=self.figsize)
    296                 axes = fig.add_subplot(111)
    297             else:
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/pyplot.py in figure(num, figsize, dpi, facecolor, edgecolor, frameon, FigureClass, **kwargs)
    533                                         frameon=frameon,
    534                                         FigureClass=FigureClass,
--> 535                                         **kwargs)
    536 
    537         if figLabel:
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py in new_figure_manager(num, *args, **kwargs)
     42     FigureClass = kwargs.pop('FigureClass', Figure)
     43     thisFig = FigureClass(*args, **kwargs)
---> 44     return new_figure_manager_given_figure(num, thisFig)
     45 
     46 
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py in new_figure_manager_given_figure(num, figure)
     49     Create a new figure manager instance for the given figure.
     50     """
---> 51     canvas = FigureCanvasQTAgg(figure)
     52     return FigureManagerQT(canvas, num)
     53 
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py in __init__(self, figure)
    240         if DEBUG:
    241             print('FigureCanvasQtAgg: ', figure)
--> 242         super(FigureCanvasQTAgg, self).__init__(figure=figure)
    243         self._drawRect = None
    244         self.blitbox = []
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py in __init__(self, figure)
     64 
     65     def __init__(self, figure):
---> 66         super(FigureCanvasQTAggBase, self).__init__(figure=figure)
     67         self._agg_draw_pending = False
     68 
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5.py in __init__(self, figure)
    234         if DEBUG:
    235             print('FigureCanvasQt qt5: ', figure)
--> 236         _create_qApp()
    237 
    238         # NB: Using super for this call to avoid a TypeError:
/ext/anaconda3/lib/python3.5/site-packages/matplotlib/backends/backend_qt5.py in _create_qApp()
    142                 display = os.environ.get('DISPLAY')
    143                 if display is None or not re.search(r':\d', display):
--> 144                     raise RuntimeError('Invalid DISPLAY variable')
    145 
    146             qApp = QtWidgets.QApplication([str(" ")])
RuntimeError: Invalid DISPLAY variable

df = PPM

df['CO2volume'] = df['ppm']*((1/1E6)*41000)

Above, I created a new column called CO2volume, in which i converted the ppm into cubic feet

df.describe()

del df['Volume']

df.head()

df['Volume_other_gases'] = 41000 - df['CO2volume']

df.head()

df.describe()

delta_CO2 = df['CO2volume'].diff(1)
delta_Gases = df['Volume_other_gases'].diff(1)

df['Time'] = df.index
delta_time = df['Time'].diff(1) / np.timedelta64(1,'m')
slopes = (delta_CO2+delta_Gases) / delta_time

%matplotlib inline
slopes.plot()

slopes.describe()