How to plot with same x and y axis range and interval between values using python?
Question:
I have data
x = [1,2,..., 341] (x are serial no) , y = [527,533,535,537,... ,1547]
I wanted to plot it in python such that the x and y axis should have same range of values and also have same interval between values.
I have plotted it using excel [Check image here].1
Here you can observe both x and y have range (0,1800) and interval between them is 200 and I have got exact square shape plot.can anybody suggest code to do same in python?
While plotting in excel I added 1600 to both list and hence I got expected result. I wanted to get same result with python code without adding any value. X and Y axis should have same range of values and same interval and plot should appear as square.
While I was trying to plot using matplotlib functionality it automatically chooses range and interval.
Please help me with this code, Thank you!
EDIT 1 : Now I am getting this figure 
I wanted the aspect ratio of xticks and yticks should 1:1. That means the grid formed due to ticks should be square shaped (In figure now it forming rectangular shape). In answer, please see fig. plotted by @Redox It has a square shape grid.
I would be thankful if you could answer my question.
Answers:
you can achieve it this way…
x=np.linspace(1,341,341)
y=np.linspace(527,1547,341)
fig, ax = plt.subplots(figsize=(8,8))
ax.plot(x, y)
ax.set_xlim(0, 1800)
ax.set_xticks(range(0,2000, 200))
ax.set_ylim(0, 1800)
ax.set_yticks(range(0,2000, 200))
ax.grid(True)
Plot
EDIT
The first thing to make sure you continue getting square shaped plot is to ensure that the figsize is a square, like in this case it is 8×8. Next, you need to change the x_lim and y_lim so that the number of ticks are the same. In the comment below you wanted x to be between 0 and 600 (600 units) and y to be between 600 and 2200 (1600 units). So, I took 75 as the tick units (8 blocks) for the X-axis and 200 as the tick units (8 units again) for the Y-axis. This will give me the required squares like below…
x=np.linspace(1,341,341)
y=np.linspace(527,1547,341)
fig, ax = plt.subplots(figsize=(8,8))
ax.plot(x, y)
ax.set_xlim(0, 600) ## X is from 0 to 600
ax.set_xticks(range(0,600, 75)) ## 8 ticks in all at 75 units spread
#ax.set_xticklabels(range(0,1800, 200))
ax.set_ylim(600,2200) ## Y is from 600 to 2200
ax.set_yticks(range(600,2200, 200)) ## 8 ticks in all at 200 units spread
#ax.set_yticks(range(10))
ax.grid(True)
I have data
x = [1,2,..., 341] (x are serial no) , y = [527,533,535,537,... ,1547]
I wanted to plot it in python such that the x and y axis should have same range of values and also have same interval between values.
I have plotted it using excel [Check image here].1
Here you can observe both x and y have range (0,1800) and interval between them is 200 and I have got exact square shape plot.can anybody suggest code to do same in python?
While plotting in excel I added 1600 to both list and hence I got expected result. I wanted to get same result with python code without adding any value. X and Y axis should have same range of values and same interval and plot should appear as square.
While I was trying to plot using matplotlib functionality it automatically chooses range and interval.
Please help me with this code, Thank you!
EDIT 1 : Now I am getting this figure
I wanted the aspect ratio of xticks and yticks should 1:1. That means the grid formed due to ticks should be square shaped (In figure now it forming rectangular shape). In answer, please see fig. plotted by @Redox It has a square shape grid.
I would be thankful if you could answer my question.
you can achieve it this way…
x=np.linspace(1,341,341)
y=np.linspace(527,1547,341)
fig, ax = plt.subplots(figsize=(8,8))
ax.plot(x, y)
ax.set_xlim(0, 1800)
ax.set_xticks(range(0,2000, 200))
ax.set_ylim(0, 1800)
ax.set_yticks(range(0,2000, 200))
ax.grid(True)
Plot
EDIT
The first thing to make sure you continue getting square shaped plot is to ensure that the figsize is a square, like in this case it is 8×8. Next, you need to change the x_lim and y_lim so that the number of ticks are the same. In the comment below you wanted x to be between 0 and 600 (600 units) and y to be between 600 and 2200 (1600 units). So, I took 75 as the tick units (8 blocks) for the X-axis and 200 as the tick units (8 units again) for the Y-axis. This will give me the required squares like below…
x=np.linspace(1,341,341)
y=np.linspace(527,1547,341)
fig, ax = plt.subplots(figsize=(8,8))
ax.plot(x, y)
ax.set_xlim(0, 600) ## X is from 0 to 600
ax.set_xticks(range(0,600, 75)) ## 8 ticks in all at 75 units spread
#ax.set_xticklabels(range(0,1800, 200))
ax.set_ylim(600,2200) ## Y is from 600 to 2200
ax.set_yticks(range(600,2200, 200)) ## 8 ticks in all at 200 units spread
#ax.set_yticks(range(10))
ax.grid(True)