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-rw-r--r--app.py35
1 files changed, 27 insertions, 8 deletions
diff --git a/app.py b/app.py
index 161d429..39515e1 100644
--- a/app.py
+++ b/app.py
@@ -11,6 +11,8 @@ import matplotlib.font_manager as font_manager
import re
+from sympy import symbols, sympify
+
font_path = 'times_new_roman.ttf'
times_new_roman = font_manager.FontProperties(fname=font_path, style='normal')
@@ -27,7 +29,7 @@ def plot_data(x_data, y_data, std_dev_data, color_picker, labels, df,
title = "Plot", x_label = "X Axis", y_label = "Y Axis",
plot_background_color="#ffffff", constant_line=[],
enable_trendline=True, enable_grid=False,
- trendline_color="#000000", x_axis_scale="linear", y_axis_scale="linear"):
+ trendline_color="#000000", x_axis_scale="linear", y_axis_scale="linear", trendline_equation=None):
fig, ax = plt.subplots(dpi=300)
plots = []
@@ -50,12 +52,24 @@ def plot_data(x_data, y_data, std_dev_data, color_picker, labels, df,
handles = plots
if enable_trendline:
- x = df[x_data[0]].astype(float)
- y = df[y_data[0]].astype(float)
- z = np.polyfit(x, y, 2)
- p = np.poly1d(z)
- h, = ax.plot(x,p(x), linestyle="dashed", label="Trendline", color=trendline_color)
- handles.append(h)
+ if trendline_equation != None:
+ try:
+ x = symbols('x')
+ p = sympify(trendline_equation)
+ x_range = np.linspace(df[x_data[0]].astype(float).min(), df[x_data[0]].astype(float).max(), 100)
+ y_range = [p.subs(x, i) for i in x_range]
+ h, = ax.plot(x_range, y_range, linestyle="dashed", label="Trendline", color=trendline_color)
+ handles.append(h)
+ print("Valid Equation", p)
+ except ValueError:
+ print("Invalid Equation")
+ else:
+ x = df[x_data[0]].astype(float)
+ y = df[y_data[0]].astype(float)
+ z = np.polyfit(x, y, 2)
+ p = np.poly1d(z)
+ h, = ax.plot(x,p(x), linestyle="dashed", label="Trendline", color=trendline_color)
+ handles.append(h)
light_grey = 0.9
dar_grey = 0.4
@@ -212,6 +226,10 @@ def process_data():
else:
enable_trendline = False
+ trendline_equation = request.form.get('trendlineEquation', None)
+ if trendline_equation == "":
+ trendline_equation = None
+
fig = plot_data(x_data, y_data, std_dev_data, color_picker, data_series_label, df, title=plot_title,
x_label=x_axis_label, y_label=y_axis_label,
plot_background_color=plot_background_color,
@@ -219,7 +237,8 @@ def process_data():
enable_trendline=enable_trendline,
trendline_color=color_picker_trendline,
x_axis_scale=x_axis_scale,
- y_axis_scale=y_axis_scale)
+ y_axis_scale=y_axis_scale,
+ trendline_equation=trendline_equation)
# Return plot as image
from io import BytesIO