Posts: 41
Threads: 15
Joined: Aug 2022
Hi all,
A matplotlib plt.bar demo create a chart as snapshots, how to set up x-axis label no shadow,thanks!!
import matplotlib.pyplot as plt
plt.style.use('ggplot')
labels = ['MEMS Vbias', 'AVDD Continuity', 'DVDD Continuity', 'IIL CLK', 'Ref Sens ADC Gain Final', 'YL_gest_NM','Y1_HSPL_LPM_offset_trim', 'Current_fail', 'Out of Range']
values = [10, 15, 12, 9, 7, 13, 1, 1, 1]
fig = plt.figure(figsize=(10, 5))
# creating the bar plot
plt.bar(labels, values, color=['black','red','green','blue','cyan',])
plt.ylabel("Failed_QTY")
plt.title("Tester Failed overview")
plt.show()
Posts: 6,789
Threads: 20
Joined: Feb 2020
What's the problem? You made the chart too small for the long labels. You can:
1 Make the chart bigger
2 User shorter labels
3 Specify a smaller font for the labels
4 Rotate the labels
You could do this to the labels:
labels = [
"MEMS\nVbias",
"AVDD\nContinuity",
"DVDD\nContinuity",
"IIL\nCLK",
"Ref Sens\nADC Gain\nFinal",
"YL_gest_NM",
"Y1_HSPL\nLPM_noffset\ntrim",
"Current\nfail",
"Out of\nRange", Or rotate the labels.
import matplotlib.pyplot as plt
plt.style.use("ggplot")
labels = [
"MEMS Vbias",
"AVDD Continuity",
"DVDD Continuity",
"IIL CLK",
"Ref Sens ADC Gain Final",
"YL_gest_NM",
"Y1_HSPL_LPM_offset_trim",
"Current_fail",
"Out of Range",
]
values = [10, 15, 12, 9, 7, 13, 1, 1, 1]
fig = plt.figure(figsize=(10, 5))
# creating the bar plot
plt.bar(
labels,
values,
color=[
"black",
"red",
"green",
"blue",
"cyan",
],
)
plt.ylabel("Failed_QTY")
plt.title("Tester Failed overview")
plt.xticks(rotation=45)
plt.tight_layout()
plt.show() My preference is shorter labels. Do you really need "Ref Sens ADC Gain Final" instead of "Reference\nGain". Can you replace "Y1_HSPL_LPM_offset_trim" with shorter gobbledygook?
Posts: 41
Threads: 15
Joined: Aug 2022
(Jan-27-2023, 04:29 PM)deanhystad Wrote: What's the problem? You made the chart too small for the long labels. You can:
1 Make the chart bigger
2 User shorter labels
3 Specify a smaller font for the labels
4 Rotate the labels
You could do this to the labels:
labels = [
"MEMS\nVbias",
"AVDD\nContinuity",
"DVDD\nContinuity",
"IIL\nCLK",
"Ref Sens\nADC Gain\nFinal",
"YL_gest_NM",
"Y1_HSPL\nLPM_noffset\ntrim",
"Current\nfail",
"Out of\nRange", Or rotate the labels.
import matplotlib.pyplot as plt
plt.style.use("ggplot")
labels = [
"MEMS Vbias",
"AVDD Continuity",
"DVDD Continuity",
"IIL CLK",
"Ref Sens ADC Gain Final",
"YL_gest_NM",
"Y1_HSPL_LPM_offset_trim",
"Current_fail",
"Out of Range",
]
values = [10, 15, 12, 9, 7, 13, 1, 1, 1]
fig = plt.figure(figsize=(10, 5))
# creating the bar plot
plt.bar(
labels,
values,
color=[
"black",
"red",
"green",
"blue",
"cyan",
],
)
plt.ylabel("Failed_QTY")
plt.title("Tester Failed overview")
plt.xticks(rotation=45)
plt.tight_layout()
plt.show() My preference is shorter labels. Do you really need "Ref Sens ADC Gain Final" instead of "Reference\nGain". Can you replace "Y1_HSPL_LPM_offset_trim" with shorter gobbledygook?
I appreciated you that is what I want, thanks!!
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