Issue
This creates the graph that I'm talking about using matplotlib:
import matplotlib.pyplot as plt
import numpy as np
xmin, xmax, ymin, ymax = -9, 9, -9, 9
fig, ax = plt.subplots(figsize=(20, 20))
ax.set(xlim=(xmin - 1, xmax + 1), ylim=(ymin - 1, ymax + 1), aspect='equal')
ax.spines['bottom'].set(position="zero", linewidth=2.5)
ax.spines['left'].set(position="zero", linewidth=2.5)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.text(10.15, 0, "x", fontdict=font, va="center")
ax.text(0, 10.15, "y", fontdict=font, ha="center")
x_ticks = np.arange(xmin, xmax)
y_ticks = np.arange(ymin, ymax)
ax.set_xticks(x_ticks[x_ticks != x_ticks])
ax.set_yticks(y_ticks[y_ticks != y_ticks])
ax.set_xticks(np.arange(xmin, xmax+1), minor=True)
ax.set_yticks(np.arange(ymin, ymax+1), minor=True)
ax.grid(which='both', color='grey', linewidth=1, linestyle='-', alpha=0.25)
plt.show()
Output: 2d cartesian plane as below
Is it possible to get a similar result with plotly?
Solution
This is how it can be done in Plotly:
import plotly.graph_objects as go
axis_range = [-9,9]
fig = go.Figure()
fig.update_xaxes(range=axis_range,title = 'y', tickmode = 'linear',
showticklabels = False, side='top',gridcolor="rgb(224,224,224)")
fig.update_yaxes(range=axis_range,title = 'x', tickmode = 'linear',
showticklabels = False, side='right', gridcolor="rgb(224,224,224)")
fig.add_vline(x=0, line_width=3)
fig.add_hline(y=0, line_width=3)
fig.update_layout(plot_bgcolor='rgb(255,255,255)', height=800, width=800)
fig.show()
The only drawback here is the label of x-axis cannot be rotated in Plotly as documented here.
Answered By - Hamzah
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