update seaborn style
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@ -89,7 +89,7 @@ class CurrentPlot:
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# calc ticks
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# calc ticks
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y_max = np.ceil(y.max()/50)*50 + 50
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y_max = np.ceil(y.max()/50)*50 + 50
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# setup plot
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# setup plot
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.plot(x, y, color='#313131',)
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plt.plot(x, y, color='#313131',)
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# fill colors
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# fill colors
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plt_fill(plt, x, y)
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plt_fill(plt, x, y)
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@ -183,7 +183,7 @@ class MonthGenerator():
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x_dates = [f'{str(i).zfill(2)} {month_short}' for i in x_numbers]
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x_dates = [f'{str(i).zfill(2)} {month_short}' for i in x_numbers]
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x_ticks = x_range, x_dates
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x_ticks = x_range, x_dates
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# plot
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# plot
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.plot(x, y_1, color='#313131', label='this year')
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plt.plot(x, y_1, color='#313131', label='this year')
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plt.plot(
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plt.plot(
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x, y_2, color='#666666', linestyle='dashed', label='last year'
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x, y_2, color='#666666', linestyle='dashed', label='last year'
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@ -192,7 +192,7 @@ class LastSevenDays:
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x_ticks = self.axis['x_ticks']
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x_ticks = self.axis['x_ticks']
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y_max = np.ceil(max(pd.concat([y_1, y_2]))/50)*50 + 50
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y_max = np.ceil(max(pd.concat([y_1, y_2]))/50)*50 + 50
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# plot
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# plot
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.plot(x, y_1, color='#313131', label='2hour avg')
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plt.plot(x, y_1, color='#313131', label='2hour avg')
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plt.plot(x, y_2, color='#cc0000', label='daily avg')
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plt.plot(x, y_2, color='#cc0000', label='daily avg')
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# fill colors
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# fill colors
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@ -284,7 +284,7 @@ class LastThreeDays:
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x = axis['x']
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x = axis['x']
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y = axis['y'].replace(0, 1)
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y = axis['y'].replace(0, 1)
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x_ticks = np.arange(0, 97, step=8)
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x_ticks = np.arange(0, 97, step=8)
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.plot(x, y, color='#313131',)
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plt.plot(x, y, color='#313131',)
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# fill colors
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# fill colors
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plt_fill(plt, x, y)
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plt_fill(plt, x, y)
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@ -363,7 +363,7 @@ class PmGraphs:
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else:
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else:
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col.append('#ff4d4d')
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col.append('#ff4d4d')
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# plot
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# plot
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.bar(x_dates, y, color=col, width=0.5)
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plt.bar(x_dates, y, color=col, width=0.5)
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plt.axhline(y=thresh, color='#6ecd65', linestyle=':')
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plt.axhline(y=thresh, color='#6ecd65', linestyle=':')
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plt.xticks(ticks=x_range, labels=x_dates)
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plt.xticks(ticks=x_range, labels=x_dates)
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@ -426,7 +426,7 @@ class HourBar:
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# color columns
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# color columns
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col = NightlyPlots.color_colums(y)
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col = NightlyPlots.color_colums(y)
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# create plot
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# create plot
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plt.style.use('seaborn')
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plt.style.use('seaborn-v0_8')
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plt.bar(x, y, color=col, width=0.5)
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plt.bar(x, y, color=col, width=0.5)
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plt.yticks(np.arange(0, y_max, step=50))
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plt.yticks(np.arange(0, y_max, step=50))
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plt.xticks(ticks=x_range, labels=x_hours)
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plt.xticks(ticks=x_range, labels=x_hours)
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@ -549,7 +549,7 @@ class YearComparison:
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# build plot
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# build plot
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plt.title("Daily avg AQI values compared to last year", fontsize=15)
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plt.title("Daily avg AQI values compared to last year", fontsize=15)
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chart_fill(plt, y_ticks)
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chart_fill(plt, y_ticks)
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plt.style.use("seaborn")
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plt.style.use("seaborn-v0_8")
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plt.plot(x, y_1, color="#313131", label="this year")
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plt.plot(x, y_1, color="#313131", label="this year")
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plt.plot(
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plt.plot(
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x, y_2, color="#666666", linestyle="dashed", label="last year"
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x, y_2, color="#666666", linestyle="dashed", label="last year"
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