uSDFS | uSD File system based on ELM-CHaN generic FAT system
kandi X-RAY | uSDFS Summary
kandi X-RAY | uSDFS Summary
uSD File system based on ELM-CHaN generic FAT system. The Teensy library contains a port of ELM_CHaN's generic FAT file system for the PJRC Teensy 3.5/6 and Teensy 4 MCU.
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QUESTION
I create two scatterplots with matplotlib
in python with this code, the data for the code is here:
ANSWER
Answered 2020-Mar-31 at 19:08# using your data in dataframe df
# create s2
df['s2'] = (20*(1.1-df.arr))**3.5
fig = plt.figure(figsize=(20,12))
ax1 = fig.add_subplot(111)
ax3 = ax1.twinx()
norm = Normalize(vmin=0.95*min(df.arr), vmax=1.05*max(df.arr))
p1 = ax1.scatter(df.x, df.y1, s=20, c=df.arr, cmap='Blues_r', norm=norm, marker='x')
fig.colorbar(p1, label='arr')
p2 = ax3.scatter(df.x, df.y2, s=df.s2, c=df.arr, cmap='Reds_r', norm=norm, marker='^')
fig.colorbar(p2, label='arr')
# create the size legend for red
for x in [15, 80, 150]:
plt.scatter([], [], c='r', alpha=1, s=x, label=str(x), marker='^')
plt.legend(loc='upper center', bbox_to_anchor=(1.23, 1), ncol=1, fancybox=True, shadow=True, title='s2')
plt.show()
QUESTION
I have two tables, Customer and User. I need to create an output that displays ClientNumber and UserNumber but client number needs to be listed for every clientnumber.
Current tables:
Customer Table:
...ANSWER
Answered 2018-Jun-06 at 18:08You don't need to use WHILE
loop, you can use CROSS JOIN
:
QUESTION
I am writing akka, Kafka Producer in scala, I am trying to send messages to kafka broker from scala kafka client and issue is that broker is not getting these message I verified it by starting kafka consumer from command line. Kafka producer and consumer are working fine from command prompt. Kafka is Kerberos and SASL_PlainText security enabled.
Please find below my conf file,client code and application logs. I think there must be some issue while connecting to Kerberos from code.
Scala Client:
...ANSWER
Answered 2017-Jun-22 at 09:30We were unable to consume message from consumer side at our cluster but we are able to consume messages at our local machine that is because we wrote our application api's using Kafka 0.10 and our cluster is having kafka version 0.9.If you checked differences between these 2 Kafka version you will find that there are significant differences between these 2 version API's.
Also please enable Kerberos debug Logs to check whether user is authenticaed with Kerberos enabled cluster
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